Evaluation and comparison of frequency ratio, statistic index and entropy methods for groundwater potential mapping using GIS (Case Study: Jahrom Township)

Document Type : Research Article


1 MSc. Student, Faculty of Geodesy & Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, Iran

2 Associate Professor, Faculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology, Tehran, Iran


Groundwater is considered one of the most valuable fresh water resources. The rapid increase in human population has increased the demand for groundwater supplies for drinking, agricultural, and industrial purposes. It is necessary to provide groundwater spring potential maps for implementing a successful groundwater determination, protection, and management program. The main objective of this study was to produce groundwater spring potential maps in the Jahrom region, using frequency ratio, statistic index and entropy methods. Twelve hydrological-geological-physiographical (HGP) factors influencing locations of springs were considered in this research and processed in ArcGIS environment. These factors include slope degree, slope aspect, altitude, topographic wetness index (TWI), slope length (LS), distance to roads, distance to rivers, distance to faults, lithology, land use and fault density. The predicted results from the three models were validated using the receiver operating characteristics curve (ROC). From 103 springs identified, 70 (≈70 %) locations were used for the spring potential mapping, while the remaining 33 (≈30 %) springs were used for the model validation. The area under the curve (AUC) for the statistic index model was calculated to be %91 and for frequency ratio and entropy the AUC to be %92 and %92.7, respectively.


Main Subjects

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Volume 4, Issue 3
September 2017
Pages 725-736
  • Receive Date: 12 January 2017
  • Revise Date: 30 April 2017
  • Accept Date: 19 April 2017
  • First Publish Date: 23 September 2017